premise string | hypothesis string | label int64 |
|---|---|---|
| | #ofvideos | Averageframes | Datasetlength |
| --- | --- | --- | --- |
| UCSDPed1 | 70 | 201 | 5min | | | UCSDPed2 | 28 | 163 | 5min |
| --- | --- | --- | --- |
| SubwayEntrance | 1 | 121,749 | 1.5hours |
| SubwaExit | 1 | 64,901 | 1.5hours |
| Avenue | 37 | 839 | 30min |
| UMN | 5 | 1290 | 5min |
| BOSS | 12 | 4052 | 27min |
| Ours | 1900 | 7247 | 128hours | | 1 |
| | #ofvideos | Averageframes | Datasetlength |
| --- | --- | --- | --- |
| UCSDPed1 | 70 | 201 | 5min | | | Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |
| --- | --- | --- | --- | --- |
| Passengers | 1800 | 1800 | 1800 | 1800 |
| Min | 48s | 62s | 33s | 62s |
| Max(=total) | 418s | 558s | 499s | 279s |
| Avg | 244s | 181s | 267s | 165s |
| Var | 10,061 | 10,376 | 17,460 | 4,107 |
| SD | 100 | 102 | 132 | 65 |
| 75thperc. | 330s | 221s | 381s | 220s |
| 95thperc. | 398s | 440s | 471s | 265s | | 0 |
| | #ofvideos | Averageframes | Datasetlength |
| --- | --- | --- | --- |
| UCSDPed1 | 70 | 201 | 5min | | | UCSDPed2 | 28 | 163 | 5min |
| --- | --- | --- | --- |
| SubwayEntrance | 1 | 121,749 | 1.5hours |
| SubwaExit | 1 | 64,901 | 1.5hours |
| Avenue | 37 | 839 | 30min |
| UMN | 5 | 1290 | 5min |
| BOSS | 12 | 4052 | 27min |
| Ours | 1900 | 7247 | 128hours | | 1 |
| | #ofvideos | Averageframes | Datasetlength |
| --- | --- | --- | --- |
| UCSDPed1 | 70 | 201 | 5min | | | Var | 10,061 | 10,376 | 17,460 | 4,107 |
| --- | --- | --- | --- | --- |
| SD | 100 | 102 | 132 | 65 |
| 75thperc. | 330s | 221s | 381s | 220s |
| 95thperc. | 398s | 440s | 471s | 265s | | 0 |
| Method | Protein | DNA | Music | Sports |
| --- | --- | --- | --- | --- |
| CGK+SFM(D=128)<br>CGK+FM(D=128) | 7.056(±5.319)<br>7.054(±5.316) | 7.051(±5.318)<br>7.055(±5.322) | 7.059(±5.320)<br>7.059(±5.319) | 7.057(±5.319)<br>7.057(±5.319) |
| CGK+SFM(D=512)<br>CGK+FM(D=512) | 3.524(±2.662)<br>3.523(±2.664) | 3.526(±2.663)<br>3.526(±2.664) | 3.526(±2.662)<br>3.527(±2.661) | 3.525(±2.662)<br>3.525(±2.662) |
| CGK+SFM(D=2048)<br>CGK+FM(D=2048) | 1.761(±1.331)<br>1.762(±1.332) | 1.762(±1.332)<br>1.761(±1.331) | 1.763(±1.332)<br>1.332(±1.763) | 1.763(±1.332)<br>1.762(±1.331) | | | CGK+SFM(D=8192)<br>CGK+FM(D=8192) | 0.881(±0.662)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.665) |
| --- | --- | --- | --- | --- |
| CGK+SFM(D=16384)<br>CGK+FM(D=16384) | 0.623(±0.471)<br>0.623(±0.471) | 0.623(±0.470)<br>0.623(±0.470) | 0.632(±0.470)<br>0.632(±0.471) | 0.623(±0.470)<br>0.623(±0.470) | | 1 |
| Method | Protein | DNA | Music | Sports |
| --- | --- | --- | --- | --- |
| CGK+SFM(D=128)<br>CGK+FM(D=128) | 7.056(±5.319)<br>7.054(±5.316) | 7.051(±5.318)<br>7.055(±5.322) | 7.059(±5.320)<br>7.059(±5.319) | 7.057(±5.319)<br>7.057(±5.319) |
| CGK+SFM(D=512)<br>CGK+FM(D=512) | 3.524(±2.662)<br>3.523(±2.664) | 3.526(±2.663)<br>3.526(±2.664) | 3.526(±2.662)<br>3.527(±2.661) | 3.525(±2.662)<br>3.525(±2.662) |
| CGK+SFM(D=2048)<br>CGK+FM(D=2048) | 1.761(±1.331)<br>1.762(±1.332) | 1.762(±1.332)<br>1.761(±1.331) | 1.763(±1.332)<br>1.332(±1.763) | 1.763(±1.332)<br>1.762(±1.331) | | | Method | Protein | DNA | Music | Sports |
| --- | --- | --- | --- | --- |
| ESP+SFM(D=128)<br>ESP+FM(D=128) | 7.054(±5.320)<br>7.055(±5.321) | 7.051(±5.318)<br>7.054(±2.664) | 7.058(±5.318)<br>7.059(±5.318) | 7.058(±5.319)<br>7.059(±5.320) |
| ESP+SFM(D=512)<br>ESP+FM(D=512) | 3.523(±2.662)<br>3.526(±2.665) | 3.526(±2.663)<br>3.526(±2.666) | 3.526(±2.662)<br>3.526(±2.663) | 3.525(±2.662)<br>3.526(±2.663) |
| ESP+SFM(D=2048)<br>ESP+FM(D=2048) | 1.762(±1.332)<br>1.763(±1.332) | 1.762(±1.332)<br>1.762(±1.332) | 1.762(±1.332)<br>1.762(±1.331) | 1.762(±1.332)<br>1.763(±1.331) |
| ESP+SFM(D=8192)<br>ESP+FM(D=8192) | 0.881(±0.666)<br>0.880(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.879(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) |
| ESP+SFM(D=16384)<br>ESP+FM(D=16384) | 0.623(±0.471)<br>0.628(±0.470) | 0.623(±0.470)<br>0.623(±0.471) | 0.621(±0.470)<br>0.623(±0.471) | 0.623(±0.470)<br>0.623(±0.471) | | 0 |
| Method | Protein | DNA | Music | Sports |
| --- | --- | --- | --- | --- |
| CGK+SFM(D=128)<br>CGK+FM(D=128) | 7.056(±5.319)<br>7.054(±5.316) | 7.051(±5.318)<br>7.055(±5.322) | 7.059(±5.320)<br>7.059(±5.319) | 7.057(±5.319)<br>7.057(±5.319) |
| CGK+SFM(D=512)<br>CGK+FM(D=512) | 3.524(±2.662)<br>3.523(±2.664) | 3.526(±2.663)<br>3.526(±2.664) | 3.526(±2.662)<br>3.527(±2.661) | 3.525(±2.662)<br>3.525(±2.662) | | | CGK+SFM(D=2048)<br>CGK+FM(D=2048) | 1.761(±1.331)<br>1.762(±1.332) | 1.762(±1.332)<br>1.761(±1.331) | 1.763(±1.332)<br>1.332(±1.763) | 1.763(±1.332)<br>1.762(±1.331) |
| --- | --- | --- | --- | --- |
| CGK+SFM(D=8192)<br>CGK+FM(D=8192) | 0.881(±0.662)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.665) |
| CGK+SFM(D=16384)<br>CGK+FM(D=16384) | 0.623(±0.471)<br>0.623(±0.471) | 0.623(±0.470)<br>0.623(±0.470) | 0.632(±0.470)<br>0.632(±0.471) | 0.623(±0.470)<br>0.623(±0.470) | | 1 |
| Method | Protein | DNA | Music | Sports |
| --- | --- | --- | --- | --- |
| CGK+SFM(D=128)<br>CGK+FM(D=128) | 7.056(±5.319)<br>7.054(±5.316) | 7.051(±5.318)<br>7.055(±5.322) | 7.059(±5.320)<br>7.059(±5.319) | 7.057(±5.319)<br>7.057(±5.319) |
| CGK+SFM(D=512)<br>CGK+FM(D=512) | 3.524(±2.662)<br>3.523(±2.664) | 3.526(±2.663)<br>3.526(±2.664) | 3.526(±2.662)<br>3.527(±2.661) | 3.525(±2.662)<br>3.525(±2.662) | | | ESP+SFM(D=8192)<br>ESP+FM(D=8192) | 0.881(±0.666)<br>0.880(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.879(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) |
| --- | --- | --- | --- | --- |
| ESP+SFM(D=16384)<br>ESP+FM(D=16384) | 0.623(±0.471)<br>0.628(±0.470) | 0.623(±0.470)<br>0.623(±0.471) | 0.621(±0.470)<br>0.623(±0.471) | 0.623(±0.470)<br>0.623(±0.471) | | 0 |
| | ModelcheckingTA | BDIagents |
| --- | --- | --- |
| CooperativeManufacturingAssistant | | |
| Model’slinesofcode<br>No.states(transitions)orplans<br>Modellingtime<br>Modelexplor.time(min/test)<br>Modelexplor.time(max/test) | 725<br>53(72)<br>≈10.5hrs<br>0.001s<br>33.36s | 348<br>79<br>≈6hrs<br>5s<br>5s | | | HomeCareAssistant | | |
| --- | --- | --- |
| Model’slinesofcode<br>No.states(transitions)orplans<br>Modellingtime<br>Modelexplor.time(min/test)<br>Modelexplor.time(max/test) | 722<br>42(67)<br>≈5.5hrs<br>0.001s<br>2.775s | 131<br>35<br>≈3hrs<br>1s<br>1s | | 1 |
| | ModelcheckingTA | BDIagents |
| --- | --- | --- |
| CooperativeManufacturingAssistant | | |
| Model’slinesofcode<br>No.states(transitions)orplans<br>Modellingtime<br>Modelexplor.time(min/test)<br>Modelexplor.time(max/test) | 725<br>53(72)<br>≈10.5hrs<br>0.001s<br>33.36s | 348<br>79<br>≈6hrs<br>5s<br>5s | | | | Human | Robot | Pseudorandom | ModelcheckingTA | BDIagents |
| --- | --- | --- | --- | --- | --- |
| CooperativeManufacturingAssistant(160testspermethod) | | | | | |
| 1<br>2<br>3 | 4legs<br>4legs<br>4legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>0<br>2 | 24<br>30<br>43 | 24<br>31<br>32 |
| 4<br>5<br>6 | 3legs<br>3legs<br>3legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>7<br>10 | 20<br>38<br>38 | 12<br>22<br>27 |
| 7<br>8<br>9 | 2legs<br>2legs<br>2legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 2<br>6<br>9 | 13<br>28<br>11 | 5<br>10<br>7 |
| 10<br>11<br>12 | 1leg<br>1leg<br>1leg | GPL=(1,1,1)<br>GPL(cid:54)=(1,1,1)<br>Timedout | 14<br>10<br>10 | 11<br>14<br>2 | 9<br>14<br>1 |
| 13<br>14 | 1to4legs<br>Nolegorbored | Alwaystimedout<br>Alwaystimedout | 72<br>62 | 38<br>2 | 75<br>3 |
| HomeCareAssistant(50testspermethod) | | | | | |
| 1<br>2<br>3<br>4 | Atleast1feed<br>Atleast1clean<br>Atleast1fridge<br>Atleast1sink | Atleast1feed<br>Atleast1clean<br>Atleast1fridge<br>Atleast1sink | 5<br>14<br>4<br>8 | 9<br>3<br>12<br>2 | 6<br>14<br>4<br>9 |
| 5 | Atleast2feedorclean | Atleast2feedorclean | 5 | 22 | 5 |
| 6 | Othercommands | Idle | 13 | 2 | 12 | | 0 |
| | ModelcheckingTA | BDIagents |
| --- | --- | --- |
| CooperativeManufacturingAssistant | | | | | Model’slinesofcode<br>No.states(transitions)orplans<br>Modellingtime<br>Modelexplor.time(min/test)<br>Modelexplor.time(max/test) | 725<br>53(72)<br>≈10.5hrs<br>0.001s<br>33.36s | 348<br>79<br>≈6hrs<br>5s<br>5s |
| --- | --- | --- |
| HomeCareAssistant | | |
| Model’slinesofcode<br>No.states(transitions)orplans<br>Modellingtime<br>Modelexplor.time(min/test)<br>Modelexplor.time(max/test) | 722<br>42(67)<br>≈5.5hrs<br>0.001s<br>2.775s | 131<br>35<br>≈3hrs<br>1s<br>1s | | 1 |
| | ModelcheckingTA | BDIagents |
| --- | --- | --- |
| CooperativeManufacturingAssistant | | | | | 1<br>2<br>3 | 4legs<br>4legs<br>4legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>0<br>2 | 24<br>30<br>43 | 24<br>31<br>32 |
| --- | --- | --- | --- | --- | --- |
| 4<br>5<br>6 | 3legs<br>3legs<br>3legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>7<br>10 | 20<br>38<br>38 | 12<br>22<br>27 |
| 7<br>8<br>9 | 2legs<br>2legs<br>2legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 2<br>6<br>9 | 13<br>28<br>11 | 5<br>10<br>7 |
| 10<br>11<br>12 | 1leg<br>1leg<br>1leg | GPL=(1,1,1)<br>GPL(cid:54)=(1,1,1)<br>Timedout | 14<br>10<br>10 | 11<br>14<br>2 | 9<br>14<br>1 |
| 13<br>14 | 1to4legs<br>Nolegorbored | Alwaystimedout<br>Alwaystimedout | 72<br>62 | 38<br>2 | 75<br>3 |
| HomeCareAssistant(50testspermethod) | | | | | |
| 1<br>2<br>3<br>4 | Atleast1feed<br>Atleast1clean<br>Atleast1fridge<br>Atleast1sink | Atleast1feed<br>Atleast1clean<br>Atleast1fridge<br>Atleast1sink | 5<br>14<br>4<br>8 | 9<br>3<br>12<br>2 | 6<br>14<br>4<br>9 |
| 5 | Atleast2feedorclean | Atleast2feedorclean | 5 | 22 | 5 |
| 6 | Othercommands | Idle | 13 | 2 | 12 | | 0 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration | | | \table | 300 | Fortables |
| --- | --- | --- |
| \table* | 400 | Forwidertables | | 1 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration | | | Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration |
| \table | 300 | Fortables |
| \table* | 400 | Forwidertables | | 0 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration | | | \table | 300 | Fortables |
| --- | --- | --- |
| \table* | 400 | Forwidertables | | 1 |
| Command | ANumber | Comments |
| --- | --- | --- |
| \alignauthor | 100 | Authoralignment |
| \numberofauthors | 200 | Authorenumeration | | | \numberofauthors | 200 | Authorenumeration |
| --- | --- | --- |
| \table | 300 | Fortables |
| \table* | 400 | Forwidertables | | 0 |
| | Algorithm | H.264 | JP2K | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| LCC | SROCC | RMSE | LCC | SROCC | RMSE | | |
| VQUEMODES | SBIQE | 0.9262 | 0.8956 | 0.3286 | 0.9706 | 0.9473 | 0.2415 | | | BRISQUE | 0.9517 | 0.9323 | 0.2319 | 0.9809 | 0.9577 | 0.1097 |
| --- | --- | --- | --- | --- | --- | --- |
| NIQE | 0.9594 | 0.9439 | 0.1791 | 0.9859 | 0.9666 | 0.0912 | | 1 |
| | Algorithm | H.264 | JP2K | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| LCC | SROCC | RMSE | LCC | SROCC | RMSE | | |
| VQUEMODES | SBIQE | 0.9262 | 0.8956 | 0.3286 | 0.9706 | 0.9473 | 0.2415 | | | Algorithm | H.264 | JP2K | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| LCC | SROCC | RMSE | LCC | SROCC | RMSE | |
| SSIM | 0.7674 | 0.5464 | 0.8843 | 0.7283 | 0.5974 | 0.9202 |
| MS-SSIM | 0.8795 | 0.6673 | 0.6955 | 0.9414 | 0.9299 | 0.4327 |
| SBIQE | 0.0062 | 0.0058 | 1.9856 | 0.0120 | 0.0574 | 1.0289 |
| BRISQUE | 0.7915 | 0.7637 | 0.7912 | 0.8048 | 0.8999 | 0.5687 |
| NIQE | 0.6814 | 0.6412 | 0.8715 | 0.6558 | 0.6427 | 0.7157 |
| STMAD | 0.7641 | 0.7354 | 0.7296 | 0.8388 | 0.7236 | 0.7136 |
| FLOSIM | 0.9265 | 0.8987 | 0.4256 | 0.9665 | 0.9495 | 0.3359 |
| Chenetal. | 0.6618 | 0.5720 | 0.6915 | 0.8723 | 0.8724 | 0.6182 |
| STRIQE | 0.7430 | 0.7167 | 0.8433 | 0.8403 | 0.8175 | 0.5666 |
| VQUEMODES(NIQE) | 0.9594 | 0.9439 | 0.1791 | 0.9859 | 0.9666 | 0.0912 | | 0 |
| | Algorithm | H.264 | JP2K | | |
| --- | --- | --- | --- | --- | --- |
| LCC | SROCC | RMSE | LCC | SROCC | RMSE | | | VQUEMODES | SBIQE | 0.9262 | 0.8956 | 0.3286 | 0.9706 | 0.9473 | 0.2415 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| BRISQUE | 0.9517 | 0.9323 | 0.2319 | 0.9809 | 0.9577 | 0.1097 | |
| NIQE | 0.9594 | 0.9439 | 0.1791 | 0.9859 | 0.9666 | 0.0912 | | | 1 |
| | Algorithm | H.264 | JP2K | | |
| --- | --- | --- | --- | --- | --- |
| LCC | SROCC | RMSE | LCC | SROCC | RMSE | | | STMAD | 0.7641 | 0.7354 | 0.7296 | 0.8388 | 0.7236 | 0.7136 |
| --- | --- | --- | --- | --- | --- | --- |
| FLOSIM | 0.9265 | 0.8987 | 0.4256 | 0.9665 | 0.9495 | 0.3359 |
| Chenetal. | 0.6618 | 0.5720 | 0.6915 | 0.8723 | 0.8724 | 0.6182 |
| STRIQE | 0.7430 | 0.7167 | 0.8433 | 0.8403 | 0.8175 | 0.5666 |
| VQUEMODES(NIQE) | 0.9594 | 0.9439 | 0.1791 | 0.9859 | 0.9666 | 0.0912 | | 0 |
| method | 0 | 1 | 2 | 3 | 4 | 5 |
| --- | --- | --- | --- | --- | --- | --- |
| RND | 0.590 | 0.677 | 0.714 | 0.736 | 0.749 | 0.758 |
| AC | 0.590 | 0.677 | 0.713 | 0.735 | 0.748 | 0.757 |
| ACG | 0.590 | 0.678 | 0.717 | 0.741 | 0.754 | 0.760 |
| NFQ | 0.590 | 0.677 | 0.713 | 0.736 | 0.750 | 0.758 | | | NFQG | 0.590 | 0.688 | 0.717 | 0.738 | 0.748 | 0.758 |
| --- | --- | --- | --- | --- | --- | --- |
| LSTM | 0.590 | 0.694 | 0.732 | 0.746 | 0.754 | 0.757 |
| LSTM-i2 | 0.614 | 0.715 | 0.751 | 0.769 | 0.778 | 0.785 |
| LSTM-i3 | 0.617 | 0.718 | 0.758 | 0.776 | 0.790 | 0.793 | | 1 |
| method | 0 | 1 | 2 | 3 | 4 | 5 |
| --- | --- | --- | --- | --- | --- | --- |
| RND | 0.590 | 0.677 | 0.714 | 0.736 | 0.749 | 0.758 |
| AC | 0.590 | 0.677 | 0.713 | 0.735 | 0.748 | 0.757 |
| ACG | 0.590 | 0.678 | 0.717 | 0.741 | 0.754 | 0.760 |
| NFQ | 0.590 | 0.677 | 0.713 | 0.736 | 0.750 | 0.758 | | | N | 1 | 2 | 5 | 10 | 20 | 100 |
| --- | --- | --- | --- | --- | --- | --- |
| Situate | 0.37(0.09) | 0.50(0.07) | 0.56(0.07) | 0.65(0.04) | 0.77(0.05) | 0.93(0.02) |
| Uniform | 0.29(0.07)) | 0.32(0.07) | 0.44(0.06) | 0.54(0.04) | 0.65(0.03) | 0.79(0.03) |
| Faster-RCNN | 0.24 | 0.25 | 0.28 | 0.38 | 0.54 | 0.91 |
| IRSG | 0.24 | 0.24 | 0.27 | 0.37 | 0.55 | 0.87 | | 0 |
| method | 0 | 1 | 2 | 3 | 4 | 5 |
| --- | --- | --- | --- | --- | --- | --- |
| RND | 0.590 | 0.677 | 0.714 | 0.736 | 0.749 | 0.758 |
| AC | 0.590 | 0.677 | 0.713 | 0.735 | 0.748 | 0.757 |
| ACG | 0.590 | 0.678 | 0.717 | 0.741 | 0.754 | 0.760 |
| NFQ | 0.590 | 0.677 | 0.713 | 0.736 | 0.750 | 0.758 |
| NFQG | 0.590 | 0.688 | 0.717 | 0.738 | 0.748 | 0.758 | | | LSTM | 0.590 | 0.694 | 0.732 | 0.746 | 0.754 | 0.757 |
| --- | --- | --- | --- | --- | --- | --- |
| LSTM-i2 | 0.614 | 0.715 | 0.751 | 0.769 | 0.778 | 0.785 |
| LSTM-i3 | 0.617 | 0.718 | 0.758 | 0.776 | 0.790 | 0.793 | | 1 |
| method | 0 | 1 | 2 | 3 | 4 | 5 |
| --- | --- | --- | --- | --- | --- | --- |
| RND | 0.590 | 0.677 | 0.714 | 0.736 | 0.749 | 0.758 |
| AC | 0.590 | 0.677 | 0.713 | 0.735 | 0.748 | 0.757 |
| ACG | 0.590 | 0.678 | 0.717 | 0.741 | 0.754 | 0.760 |
| NFQ | 0.590 | 0.677 | 0.713 | 0.736 | 0.750 | 0.758 |
| NFQG | 0.590 | 0.688 | 0.717 | 0.738 | 0.748 | 0.758 | | | Uniform | 0.29(0.07)) | 0.32(0.07) | 0.44(0.06) | 0.54(0.04) | 0.65(0.03) | 0.79(0.03) |
| --- | --- | --- | --- | --- | --- | --- |
| Faster-RCNN | 0.24 | 0.25 | 0.28 | 0.38 | 0.54 | 0.91 |
| IRSG | 0.24 | 0.24 | 0.27 | 0.37 | 0.55 | 0.87 | | 0 |
| CNNmodel | Layer | Activations | Encoding |
| --- | --- | --- | --- |
| AlexNet | Conv5 | (13,13,256) | FV+PCA | | | AlexNet | Conv5 | (13,13,256) | VLAD+PCA |
| --- | --- | --- | --- |
| AlexNet | FC7 | 4096 | − |
| GoogLeNet | Inc.5b | (7,7,1024) | VLAD+PCA |
| GoogLeNet | Pool5 | 1024 | − | | 1 |
| CNNmodel | Layer | Activations | Encoding |
| --- | --- | --- | --- |
| AlexNet | Conv5 | (13,13,256) | FV+PCA | | | CNN | Imageresolution | RunTime(ms) |
| --- | --- | --- |
| AlexNet | 227×227 | 2.3 |
| VGG16 | 224×224 | 10 |
| Resnet50 | 224×224 | 17 |
| SqueezeNet | 224×224 | 2.5 |
| SqueezeNet | 448×448 | 4 |
| SqueezeNet | 625×625 | 6 | | 0 |
| CNNmodel | Layer | Activations | Encoding |
| --- | --- | --- | --- |
| AlexNet | Conv5 | (13,13,256) | FV+PCA | | | AlexNet | Conv5 | (13,13,256) | VLAD+PCA |
| --- | --- | --- | --- |
| AlexNet | FC7 | 4096 | − |
| GoogLeNet | Inc.5b | (7,7,1024) | VLAD+PCA |
| GoogLeNet | Pool5 | 1024 | − | | 1 |
| CNNmodel | Layer | Activations | Encoding |
| --- | --- | --- | --- |
| AlexNet | Conv5 | (13,13,256) | FV+PCA | | | SqueezeNet | 448×448 | 4 |
| --- | --- | --- |
| SqueezeNet | 625×625 | 6 | | 0 |
| Hyper-parameters | Value |
| --- | --- |
| Learningrate | 0.00015822 |
| Beta | 0.000076253698849 |
| Dropout | 0.85565561 |
| Networkparameters | Value |
| RegularizationType | L2 | | | BatchSize | 256 |
| --- | --- |
| WeightUpdate | AdamOptimization | | 1 |
| Hyper-parameters | Value |
| --- | --- |
| Learningrate | 0.00015822 |
| Beta | 0.000076253698849 |
| Dropout | 0.85565561 |
| Networkparameters | Value |
| RegularizationType | L2 | | | Parameters | Value |
| --- | --- |
| Maximumsentencelength | 15words |
| OptimizationMethod | Adam |
| Learningrate | 0.01 |
| Batchsize | 256 |
| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] | | 0 |
| Hyper-parameters | Value |
| --- | --- |
| Learningrate | 0.00015822 | | | Beta | 0.000076253698849 |
| --- | --- |
| Dropout | 0.85565561 |
| Networkparameters | Value |
| RegularizationType | L2 |
| BatchSize | 256 |
| WeightUpdate | AdamOptimization | | 1 |
| Hyper-parameters | Value |
| --- | --- |
| Learningrate | 0.00015822 | | | OptimizationMethod | Adam |
| --- | --- |
| Learningrate | 0.01 |
| Batchsize | 256 |
| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] | | 0 |
| Method | MAE | MSE |
| --- | --- | --- |
| HF | 3.51 | 18.70 | | | SPPF | 3.47 | 17.46 |
| --- | --- | --- |
| LFV | 3.37 | 18.14 |
| ourmethod | 2.41 | 9.12 | | 1 |
| Method | MAE | MSE |
| --- | --- | --- |
| HF | 3.51 | 18.70 | | | PartA | | |
| --- | --- | --- |
| MAE | MSE | MAE |
| 83.1 | 120.4 | 20.1 |
| 75.9 | 109.2 | 16.5 |
| 72.9 | 103.1 | 14.6 |
| 69.3 | 96.4 | 11.6 | | 0 |
| Method | MAE | MSE |
| --- | --- | --- |
| HF | 3.51 | 18.70 |
| SPPF | 3.47 | 17.46 | | | LFV | 3.37 | 18.14 |
| --- | --- | --- |
| ourmethod | 2.41 | 9.12 | | 1 |
| Method | MAE | MSE |
| --- | --- | --- |
| HF | 3.51 | 18.70 |
| SPPF | 3.47 | 17.46 | | | 75.9 | 109.2 | 16.5 |
| --- | --- | --- |
| 72.9 | 103.1 | 14.6 |
| 69.3 | 96.4 | 11.6 | | 0 |
| | CNN | DailyMail | | |
| --- | --- | --- | --- | --- |
| Models | Val | Test | Val | Test |
| L2RReader | 64.3 | 65.8 | 69.1 | 67.3 | | | L2R+Coref | 63.8 | 64.8 | 68.3 | 66.5 |
| --- | --- | --- | --- | --- |
| L2R-WMD | 60.8 | 61.5 | 63.2 | 61.6 |
| L2R-FS | 61.5 | 62.5 | 65.3 | 63.7 | | 1 |
| | CNN | DailyMail | | |
| --- | --- | --- | --- | --- |
| Models | Val | Test | Val | Test |
| L2RReader | 64.3 | 65.8 | 69.1 | 67.3 | | | | CNN | Dailymail | | |
| --- | --- | --- | --- | --- |
| #Training | Val | Test | Val | Test |
| 10 | 35.2 | 41.6 | 45.7 | 43.6 |
| 20 | 57.4 | 55.1 | 57.2 | 56.2 |
| 30 | 56.7 | 60.2 | 61.4 | 60.3 |
| 40 | 57 | 60 | 62.3 | 61.3 |
| 50 | 60.3 | 63.1 | 63.5 | 62.5 |
| 100 | 61.5 | 63.9 | 65.4 | 64.6 |
| 200 | 62.5 | 64.9 | 67.3 | 65.2 |
| 500 | 62.8 | 65 | 67.5 | 66.3 |
| 1000 | 62.9 | 65.2 | 68.3 | 66.7 |
| 2000 | 63.2 | 65.2 | 69.0 | 67.3 |
| 5000 | 64.3 | 65.8 | 69.1 | 67.3 | | 0 |
| | CNN | DailyMail | | |
| --- | --- | --- | --- | --- |
| Models | Val | Test | Val | Test |
| L2RReader | 64.3 | 65.8 | 69.1 | 67.3 | | | L2R+Coref | 63.8 | 64.8 | 68.3 | 66.5 |
| --- | --- | --- | --- | --- |
| L2R-WMD | 60.8 | 61.5 | 63.2 | 61.6 |
| L2R-FS | 61.5 | 62.5 | 65.3 | 63.7 | | 1 |
| | CNN | DailyMail | | |
| --- | --- | --- | --- | --- |
| Models | Val | Test | Val | Test |
| L2RReader | 64.3 | 65.8 | 69.1 | 67.3 | | | 30 | 56.7 | 60.2 | 61.4 | 60.3 |
| --- | --- | --- | --- | --- |
| 40 | 57 | 60 | 62.3 | 61.3 |
| 50 | 60.3 | 63.1 | 63.5 | 62.5 |
| 100 | 61.5 | 63.9 | 65.4 | 64.6 |
| 200 | 62.5 | 64.9 | 67.3 | 65.2 |
| 500 | 62.8 | 65 | 67.5 | 66.3 |
| 1000 | 62.9 | 65.2 | 68.3 | 66.7 |
| 2000 | 63.2 | 65.2 | 69.0 | 67.3 |
| 5000 | 64.3 | 65.8 | 69.1 | 67.3 | | 0 |
| testset | BLEU |
| --- | --- |
| Random1000samples | 11.85 | | | Withidioms | 6.35 |
| --- | --- |
| Blacklisttriggered | 5.64 |
| Blacklistnottriggered | 6.44 | | 1 |
| testset | BLEU |
| --- | --- |
| Random1000samples | 11.85 | | | | RegExLib | Snort |
| --- | --- | --- |
| Totalpatterns | 2994 | 12499 |
| Analyzable(onlyregularconstructs) | 2213 | 9408 |
| UsesKleenestar | 1103 | 2741 |
| PumpableKleeneandsuffixfound | 127 | 15 |
| PumpableKleeneonly | 20 | 4 |
| NopumpableKleene | 2066 | 9389 |
| MaxHFπsteps | 509 | 256 |
| Totalclassificationtime<br>(IntelCore2Duo1.8MHz,4GBRAM) | 40s | 10s | | 0 |
| testset | BLEU |
| --- | --- |
| Random1000samples | 11.85 |
| Withidioms | 6.35 | | | Blacklisttriggered | 5.64 |
| --- | --- |
| Blacklistnottriggered | 6.44 | | 1 |
| testset | BLEU |
| --- | --- |
| Random1000samples | 11.85 |
| Withidioms | 6.35 | | | MaxHFπsteps | 509 | 256 |
| --- | --- | --- |
| Totalclassificationtime<br>(IntelCore2Duo1.8MHz,4GBRAM) | 40s | 10s | | 0 |
| Device | GTX560Ti | GTX780 | GTX980 |
| --- | --- | --- | --- |
| W(byte/cycle)bank | 2 | 8 | 4 |
| f(GHz)core | 0.950 | 1.006 | 1.279 | | | W(GB/s)SM | 60.80 | 257.54 | 163.84 |
| --- | --- | --- | --- |
| (cid:48)<br>(GB/s)W<br>SM | 34.90 | 83.81 | 137.41 | | 1 |
| Device | GTX560Ti | GTX780 | GTX980 |
| --- | --- | --- | --- |
| W(byte/cycle)bank | 2 | 8 | 4 |
| f(GHz)core | 0.950 | 1.006 | 1.279 | | | GPU | GTX1080 | TitanX |
| --- | --- | --- |
| ComputeCapability | 6.1 | 6.1 |
| GlobalMem(GB) | 8 | 10 |
| #ofSMs | 20 | 28 |
| CoreClock(MHz) | 1607 | 1417 |
| MemClock(MHz) | 5005 | 5005 |
| MemBusWidth | 256 | 384 |
| L2Cache(KB) | 2048 | 3072 | | 0 |
| Device | GTX560Ti | GTX780 | GTX980 |
| --- | --- | --- | --- |
| W(byte/cycle)bank | 2 | 8 | 4 |
| f(GHz)core | 0.950 | 1.006 | 1.279 | | | W(GB/s)SM | 60.80 | 257.54 | 163.84 |
| --- | --- | --- | --- |
| (cid:48)<br>(GB/s)W<br>SM | 34.90 | 83.81 | 137.41 | | 1 |
| Device | GTX560Ti | GTX780 | GTX980 |
| --- | --- | --- | --- |
| W(byte/cycle)bank | 2 | 8 | 4 |
| f(GHz)core | 0.950 | 1.006 | 1.279 | | | CoreClock(MHz) | 1607 | 1417 |
| --- | --- | --- |
| MemClock(MHz) | 5005 | 5005 |
| MemBusWidth | 256 | 384 |
| L2Cache(KB) | 2048 | 3072 | | 0 |
| Model | k=200 | k=300 | k=400 |
| --- | --- | --- | --- |
| Bag-of-Words-10K | 0.127 | 0.113 | 0.111 |
| Single-10k | 0.168 | 0.172 | 0.165 | | | Joint-10k | 0.190 | 0.177 | 0.181 |
| --- | --- | --- | --- |
| Bag-of-Words-50K | 0.196 | 0.191 | 0.21 |
| Single-50k | 0.218 | 0.228 | 0.222 |
| Joint-50k | 0.256 | 0.250 | 0.227 |
| Bag-of-Words-100K | 0.222 | 0.18 | 0.16 |
| Single-100k | 0.225 | 0.218 | 0.199 |
| Joint-100k | 0.283 | 0.256 | 0.222 | | 1 |
| Model | k=200 | k=300 | k=400 |
| --- | --- | --- | --- |
| Bag-of-Words-10K | 0.127 | 0.113 | 0.111 |
| Single-10k | 0.168 | 0.172 | 0.165 | | | Model | k=200 | k=300 | k=400 |
| --- | --- | --- | --- |
| Bag-of-Words-10K | 0.457 | 0.445 | 0.483 |
| Single-10k | 0.623 | 0.647 | 0.641 |
| Joint-10k | 0.650 | 0.636 | 0.635 |
| Bag-of-Words-50K | 0.44 | 0.453 | 0.407 |
| Single-50k | 0.492 | 0.486 | 0.534 |
| Joint-50k | 0.571 | 0.591 | 0.613 |
| Bag-of-Words-100K | 0.335 | 0.324 | 0.322 |
| Single-100k | 0.431 | 0.413 | 0.456 |
| Joint-100k | 0.495 | 0.518 | 0.507 | | 0 |
| Model | k=200 | k=300 | k=400 |
| --- | --- | --- | --- |
| Bag-of-Words-10K | 0.127 | 0.113 | 0.111 |
| Single-10k | 0.168 | 0.172 | 0.165 |
| Joint-10k | 0.190 | 0.177 | 0.181 |
| Bag-of-Words-50K | 0.196 | 0.191 | 0.21 |
| Single-50k | 0.218 | 0.228 | 0.222 | | | Joint-50k | 0.256 | 0.250 | 0.227 |
| --- | --- | --- | --- |
| Bag-of-Words-100K | 0.222 | 0.18 | 0.16 |
| Single-100k | 0.225 | 0.218 | 0.199 |
| Joint-100k | 0.283 | 0.256 | 0.222 | | 1 |
| Model | k=200 | k=300 | k=400 |
| --- | --- | --- | --- |
| Bag-of-Words-10K | 0.127 | 0.113 | 0.111 |
| Single-10k | 0.168 | 0.172 | 0.165 |
| Joint-10k | 0.190 | 0.177 | 0.181 |
| Bag-of-Words-50K | 0.196 | 0.191 | 0.21 |
| Single-50k | 0.218 | 0.228 | 0.222 | | | Bag-of-Words-50K | 0.44 | 0.453 | 0.407 |
| --- | --- | --- | --- |
| Single-50k | 0.492 | 0.486 | 0.534 |
| Joint-50k | 0.571 | 0.591 | 0.613 |
| Bag-of-Words-100K | 0.335 | 0.324 | 0.322 |
| Single-100k | 0.431 | 0.413 | 0.456 |
| Joint-100k | 0.495 | 0.518 | 0.507 | | 0 |
| ShapeBasedFeature | |
| --- | --- |
| 1.Volume | 9.Maximum2Ddiameter(coronal) | | | 2.Surfacearea | 10.Maximum2Ddiameter(sagital) |
| --- | --- |
| 3.SurfaceareatoVolumeRatio | 11.MajorAxis |
| 4.Sphericity | 12.MinorAxis |
| 5.SphericalDisproportion | 13.LeastAxis |
| 6.Compactness1 | 14.Elongation |
| 7.Maximum3Ddiameter | 15.Flatness |
| 8.Maximum2Ddiameter(axial) | 16.Compactness2 | | 1 |
| ShapeBasedFeature | |
| --- | --- |
| 1.Volume | 9.Maximum2Ddiameter(coronal) | | | | Aspectratio | Convexity | HScircularity | Solidity |
| --- | --- | --- | --- | --- |
| Blocky | 0.71±0.13 | 0.99±0.02 | 0.71±0.06 | 0.85±0.02 |
| Vesicular | 0.69±0.13 | 0.87±0.05 | 0.48±0.08 | 0.73±0.09 |
| Elongated | 0.37±0.06 | 0.96±0.09 | 0.51±0.08 | 0.80±0.23 |
| Rounded | 0.80±0.09 | 0.99±0.01 | 0.82±0.04 | 0.89±0.01 | | 0 |
| ShapeBasedFeature | |
| --- | --- |
| 1.Volume | 9.Maximum2Ddiameter(coronal) |
| 2.Surfacearea | 10.Maximum2Ddiameter(sagital) |
| 3.SurfaceareatoVolumeRatio | 11.MajorAxis |
| 4.Sphericity | 12.MinorAxis |
| 5.SphericalDisproportion | 13.LeastAxis |
| 6.Compactness1 | 14.Elongation | | | 7.Maximum3Ddiameter | 15.Flatness |
| --- | --- |
| 8.Maximum2Ddiameter(axial) | 16.Compactness2 | | 1 |
| ShapeBasedFeature | |
| --- | --- |
| 1.Volume | 9.Maximum2Ddiameter(coronal) |
| 2.Surfacearea | 10.Maximum2Ddiameter(sagital) |
| 3.SurfaceareatoVolumeRatio | 11.MajorAxis |
| 4.Sphericity | 12.MinorAxis |
| 5.SphericalDisproportion | 13.LeastAxis |
| 6.Compactness1 | 14.Elongation | | | Elongated | 0.37±0.06 | 0.96±0.09 | 0.51±0.08 | 0.80±0.23 |
| --- | --- | --- | --- | --- |
| Rounded | 0.80±0.09 | 0.99±0.01 | 0.82±0.04 | 0.89±0.01 | | 0 |
| Conv1 | 96×7×7,st.2,pad0 |
| --- | --- |
| Conv2 | 256×5×5,st.1,pad1 |
| Conv3 | 512×3×3,st.1,pad1 |
| Conv4 | 512×3×3,st.1,pad1 |
| Conv5 | 512×3×3,st.1,pad1 | | | Full6 | 4096dropout |
| --- | --- |
| Full7 | 4096dropout |
| Full8 | 1000softmax | | 1 |
| Conv1 | 96×7×7,st.2,pad0 |
| --- | --- |
| Conv2 | 256×5×5,st.1,pad1 |
| Conv3 | 512×3×3,st.1,pad1 |
| Conv4 | 512×3×3,st.1,pad1 |
| Conv5 | 512×3×3,st.1,pad1 | | | Name | Kernel | OutputSize | Name | Kernel | OutputSize |
| --- | --- | --- | --- | --- | --- |
| conv1,2 | 3×3 | 320×448×64 | deconv5 | 2×2 | 40×56×256 |
| pool1 | 2×2 | 160×224×64 | refine-1convs | 3×3 | 40×56×256 |
| conv3,4 | 3×3 | 160×224×128 | deconv4 | 2×2 | 80×112×128 |
| pool2 | 2×2 | 80×112×128 | refine-2convs | 3×3 | 80×112×128 |
| conv5,6,1-2 | 3×3 | 80×112×256 | deconv3 | 2×2 | 160×224×64 |
| pool3 | 2×2 | 40×56×256 | refine-3convs | 3×3 | 160×224×64 |
| conv7,8,1-2 | 3×3 | 40×56×512 | deconv2 | 2×2 | 320×448×32 |
| pool4 | 2×2 | 20×28×512 | refine-4convs | 3×3 | 320×448×32 | | 0 |
| Conv1 | 96×7×7,st.2,pad0 |
| --- | --- |
| Conv2 | 256×5×5,st.1,pad1 | | | Conv3 | 512×3×3,st.1,pad1 |
| --- | --- |
| Conv4 | 512×3×3,st.1,pad1 |
| Conv5 | 512×3×3,st.1,pad1 |
| Full6 | 4096dropout |
| Full7 | 4096dropout |
| Full8 | 1000softmax | | 1 |
| Conv1 | 96×7×7,st.2,pad0 |
| --- | --- |
| Conv2 | 256×5×5,st.1,pad1 | | | pool3 | 2×2 | 40×56×256 | refine-3convs | 3×3 | 160×224×64 |
| --- | --- | --- | --- | --- | --- |
| conv7,8,1-2 | 3×3 | 40×56×512 | deconv2 | 2×2 | 320×448×32 |
| pool4 | 2×2 | 20×28×512 | refine-4convs | 3×3 | 320×448×32 | | 0 |
| | Chicago | Paris | Zurich | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | (15.7h) | Ours(10.5h) | (18.3h) | Ours(7.6h) | (15.5h) | Ours(6.2h) |
| Faverage1 | 0.840 | 0.855 | 0.774 | 0.776 | 0.804 | 0.810 | | | Fbuilding1 | 0.823 | 0.837 | 0.821 | 0.822 | 0.824 | 0.823 |
| --- | --- | --- | --- | --- | --- | --- |
| Froad1 | 0.821 | 0.843 | 0.741 | 0.746 | 0.695 | 0.707 |
| Fbackground1 | 0.849 | 0.861 | 0.754 | 0.754 | 0.894 | 0.891 | | 1 |
| | Chicago | Paris | Zurich | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | (15.7h) | Ours(10.5h) | (18.3h) | Ours(7.6h) | (15.5h) | Ours(6.2h) |
| Faverage1 | 0.840 | 0.855 | 0.774 | 0.776 | 0.804 | 0.810 | | | | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |
| 1012CNNa | 170 | 149 | 23 | 21 | 0.866 | 0.876 | 0.871 | 215 | 191 | 13 | 24 | 0.936 |
| 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |
| 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |
| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |
| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |
| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |
| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |
| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |
| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |
| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |
| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |
| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 | | 0 |
| | Chicago | Paris | Zurich | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | (15.7h) | Ours(10.5h) | (18.3h) | Ours(7.6h) | (15.5h) | Ours(6.2h) | | | Faverage1 | 0.840 | 0.855 | 0.774 | 0.776 | 0.804 | 0.810 |
| --- | --- | --- | --- | --- | --- | --- |
| Fbuilding1 | 0.823 | 0.837 | 0.821 | 0.822 | 0.824 | 0.823 |
| Froad1 | 0.821 | 0.843 | 0.741 | 0.746 | 0.695 | 0.707 |
| Fbackground1 | 0.849 | 0.861 | 0.754 | 0.754 | 0.894 | 0.891 | | 1 |
| | Chicago | Paris | Zurich | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | (15.7h) | Ours(10.5h) | (18.3h) | Ours(7.6h) | (15.5h) | Ours(6.2h) | | | 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |
| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |
| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |
| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |
| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |
| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |
| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |
| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |
| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |
| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 | | 0 |
| KernelMethods | RBF | Linear | | |
| --- | --- | --- | --- | --- |
| Method | WSS-WR | WSS3 | WSS-WR | WSS3 |
| MPG | 6.9927 | 6.4602 | 12.325 | 12.058 |
| MG | 0.01533 | 0.014618 | 0.02161 | 0.02138 | | | KernelMethods | Polynomial | Sigmoid | | |
| --- | --- | --- | --- | --- |
| Method | WSS-WR | WSS3 | WSS-WR | WSS3 |
| MPG | 0.25 | 0.5 | 14.669 | 14.22 |
| MG | 0.019672 | 0.018778 | 0.023228 | 0.023548 | | 1 |
| KernelMethods | RBF | Linear | | |
| --- | --- | --- | --- | --- |
| Method | WSS-WR | WSS3 | WSS-WR | WSS3 |
| MPG | 6.9927 | 6.4602 | 12.325 | 12.058 |
| MG | 0.01533 | 0.014618 | 0.02161 | 0.02138 | | | Method | LFW-a4× | LFW-a8× | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM | |
| NN | 24.16 | 0.687 | 1.23 | 33.55 | 7.99 | 20.56 | 0.441 | 0.38 | 27.22 | 4.43 |
| Bicubic | 26.62 | 0.796 | 1.84 | 34.61 | 10.72 | 22.16 | 0.575 | 0.77 | 28.38 | 6.13 |
| KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 |
| SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 |
| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |
| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |
| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |
| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |
| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 | | 0 |
| KernelMethods | RBF | Linear | | |
| --- | --- | --- | --- | --- |
| Method | WSS-WR | WSS3 | WSS-WR | WSS3 |
| MPG | 6.9927 | 6.4602 | 12.325 | 12.058 |
| MG | 0.01533 | 0.014618 | 0.02161 | 0.02138 |
| KernelMethods | Polynomial | Sigmoid | | | | | Method | WSS-WR | WSS3 | WSS-WR | WSS3 |
| --- | --- | --- | --- | --- |
| MPG | 0.25 | 0.5 | 14.669 | 14.22 |
| MG | 0.019672 | 0.018778 | 0.023228 | 0.023548 | | 1 |
| KernelMethods | RBF | Linear | | |
| --- | --- | --- | --- | --- |
| Method | WSS-WR | WSS3 | WSS-WR | WSS3 |
| MPG | 6.9927 | 6.4602 | 12.325 | 12.058 |
| MG | 0.01533 | 0.014618 | 0.02161 | 0.02138 |
| KernelMethods | Polynomial | Sigmoid | | | | | KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 |
| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |
| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |
| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |
| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |
| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 | | 0 |
| DataSet | MPEG-7 |
| --- | --- |
| CSS | 75.44 | | | Visualparts | 76.45 |
| --- | --- |
| SC | 76.51 |
| CPDH | 76.56 |
| Aligningcurves | 78.16 |
| ProposedApproach | 79.38 |
| SSC | 79.92 | | 1 |
| DataSet | MPEG-7 |
| --- | --- |
| CSS | 75.44 | | | | DISFA | BP4D |
| --- | --- | --- |
| #seqs | 27 | 328 |
| #frames | 130,814 | 144,682 |
| #activeframes | 56,356 | 117,075 |
| #AU | 10 | 12 |
| labelcardinality | 3.04 | 4.05 |
| labeldensity | 4.05 | 0.22 | | 0 |
| DataSet | MPEG-7 |
| --- | --- |
| CSS | 75.44 |
| Visualparts | 76.45 |
| SC | 76.51 |
| CPDH | 76.56 | | | Aligningcurves | 78.16 |
| --- | --- |
| ProposedApproach | 79.38 |
| SSC | 79.92 | | 1 |
| DataSet | MPEG-7 |
| --- | --- |
| CSS | 75.44 |
| Visualparts | 76.45 |
| SC | 76.51 |
| CPDH | 76.56 | | | #activeframes | 56,356 | 117,075 |
| --- | --- | --- |
| #AU | 10 | 12 |
| labelcardinality | 3.04 | 4.05 |
| labeldensity | 4.05 | 0.22 | | 0 |
| Method | MOTA↑ | MOTP↑ | FP↓ | FN↓ | IDSw.↓ | detector |
| --- | --- | --- | --- | --- | --- | --- |
| SOT+MOT(priv) | 67.3 | 81.2 | 5338 | 30266 | 529 | private |
| MOT(priv) | 67.0 | 81.3 | 5259 | 30626 | 524 | private | | | SOT+MOT | 41.9 | 77.4 | 4235 | 59757 | 198 | public |
| --- | --- | --- | --- | --- | --- | --- |
| SOT(templatematching)+MOT | 41.7 | 77.8 | 4201 | 59954 | 174 | public |
| MOT | 38.1 | 78.1 | 5014 | 63121 | 249 | public | | 1 |
| Method | MOTA↑ | MOTP↑ | FP↓ | FN↓ | IDSw.↓ | detector |
| --- | --- | --- | --- | --- | --- | --- |
| SOT+MOT(priv) | 67.3 | 81.2 | 5338 | 30266 | 529 | private |
| MOT(priv) | 67.0 | 81.3 | 5259 | 30626 | 524 | private | | | PRI↑ | VoI↓ | BDE↓ | GCE↓ | |
| --- | --- | --- | --- | --- |
| NCut | 0.73931 | 2.9139 | 17.1560 | 0.2232 |
| CTM | 0.7796 | 6.2187 | 19.1981 | 0.3647 |
| HFEM | 0.7769 | 2.3067 | 10.6700 | 0.2215 |
| MeanShift | 0.7769 | 4.3173 | 13.1616 | 0.5811 |
| Proposedapproach | 0.7627 | 3.8036 | 10.1594 | 0.4484 | | 0 |
| Method | MOTA↑ | MOTP↑ | FP↓ | FN↓ | IDSw.↓ | detector |
| --- | --- | --- | --- | --- | --- | --- |
| SOT+MOT(priv) | 67.3 | 81.2 | 5338 | 30266 | 529 | private | | | MOT(priv) | 67.0 | 81.3 | 5259 | 30626 | 524 | private |
| --- | --- | --- | --- | --- | --- | --- |
| SOT+MOT | 41.9 | 77.4 | 4235 | 59757 | 198 | public |
| SOT(templatematching)+MOT | 41.7 | 77.8 | 4201 | 59954 | 174 | public |
| MOT | 38.1 | 78.1 | 5014 | 63121 | 249 | public | | 1 |
| Method | MOTA↑ | MOTP↑ | FP↓ | FN↓ | IDSw.↓ | detector |
| --- | --- | --- | --- | --- | --- | --- |
| SOT+MOT(priv) | 67.3 | 81.2 | 5338 | 30266 | 529 | private | | | MeanShift | 0.7769 | 4.3173 | 13.1616 | 0.5811 |
| --- | --- | --- | --- | --- |
| Proposedapproach | 0.7627 | 3.8036 | 10.1594 | 0.4484 | | 0 |
| #ofCPUCores | #ofGPUs |
| --- | --- |
| 299,008 | 18688 | | | 102,400 | 7,168 |
| --- | --- |
| 55,680 | 4,640 |
| 17,984 | 4,258 | | 1 |
| #ofCPUCores | #ofGPUs |
| --- | --- |
| 299,008 | 18688 | | | (a)Numberofrenderedviews | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| n | 200 | 500 | 1k | 2k | 5k | 10k | 86k |
| AP | 29.8 | 34.2 | 35.3 | 38.7 | 40.2 | 42.0 | 44.0 |
| (b)NumberofCADmodels | | | | | | | |
| n | 5 | 10 | 20 | 40 | 80 | 160 | 1393 |
| AP | 17.6 | 25.0 | 29.3 | 32.8 | 33.8 | 38.1 | 44.0 | | 0 |
| #ofCPUCores | #ofGPUs |
| --- | --- |
| 299,008 | 18688 |
| 102,400 | 7,168 | | | 55,680 | 4,640 |
| --- | --- |
| 17,984 | 4,258 | | 1 |
| #ofCPUCores | #ofGPUs |
| --- | --- |
| 299,008 | 18688 |
| 102,400 | 7,168 | | | (b)NumberofCADmodels | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| n | 5 | 10 | 20 | 40 | 80 | 160 | 1393 |
| AP | 17.6 | 25.0 | 29.3 | 32.8 | 33.8 | 38.1 | 44.0 | | 0 |
| KNN | SVM-RBF | DT | RF | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |
| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |
| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |
| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |
| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |
| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 | | | Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |
| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |
| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |
| CAPTCHA | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 | | 1 |
| KNN | SVM-RBF | DT | RF | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |
| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |
| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |
| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |
| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |
| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 | | | kNN | SVM-RBF | DT | RF | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |
| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |
| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |
| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |
| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |
| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |
| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |
| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |
| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |
| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |
| Captcha | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 | | 0 |
| KNN | SVM-RBF | DT | RF | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |
| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |
| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |
| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |
| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |
| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |
| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |
| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 | | | Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |
| CAPTCHA | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 | | 1 |
| KNN | SVM-RBF | DT | RF | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |
| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |
| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |
| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |
| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |
| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |
| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |
| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 | | | KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Captcha | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 | | 0 |
| Conv.Layers | ODS | OIS | AP |
| --- | --- | --- | --- |
| st<br>1 | 0.66 | 0.68 | 0.69 |
| 2 | 0.71 | 0.74 | 0.76 | | | 3 | 0.74 | 0.75 | 0.79 |
| --- | --- | --- | --- |
| 4 | 0.74 | 0.76 | 0.79 |
| 5 | 0.73 | 0.74 | 0.77 |
| All | 0.75 | 0.77 | 0.81 | | 1 |
| Conv.Layers | ODS | OIS | AP |
| --- | --- | --- | --- |
| st<br>1 | 0.66 | 0.68 | 0.69 |
| 2 | 0.71 | 0.74 | 0.76 | | | Layer | AVGPower[mW] | ExecTime[ms] | L3-L2Time[ms] |
| --- | --- | --- | --- |
| conv1+pool | 89.01 | 12.95 | 0.02 |
| ReLU | 52.07 | 0.46 | — |
| conv2+ReLU | 87.96 | 11.12 | 0.13 |
| conv3 | 77.46 | 11.85 | 0.13 |
| conv4 | 83.56 | 5.49 | 0.02 |
| add | 37.75 | 0.12 | — |
| ReLU | 36.81 | 0.12 | — |
| conv5+ReLU | 78.10 | 8.34 | 0.26 |
| conv6 | 91.72 | 9.35 | 0.51 |
| conv7 | 66.53 | 2.08 | 0.04 |
| add | 34.98 | 0.12 | — |
| ReLU | 34.01 | 0.11 | — |
| conv8+ReLU | 87.49 | 6.37 | 1.01 |
| conv9 | 89.67 | 11.91 | 2.02 |
| conv10 | 66.00 | 2.59 | 0.12 |
| add+ReLU | 34.30 | 0.11 | — |
| fully1 | 30.76 | 0.04 | 0.09 |
| fully2 | 36.74 | 0.04 | 0.09 | | 0 |
| Conv.Layers | ODS | OIS | AP |
| --- | --- | --- | --- |
| st<br>1 | 0.66 | 0.68 | 0.69 |
| 2 | 0.71 | 0.74 | 0.76 | | | 3 | 0.74 | 0.75 | 0.79 |
| --- | --- | --- | --- |
| 4 | 0.74 | 0.76 | 0.79 |
| 5 | 0.73 | 0.74 | 0.77 |
| All | 0.75 | 0.77 | 0.81 | | 1 |
| Conv.Layers | ODS | OIS | AP |
| --- | --- | --- | --- |
| st<br>1 | 0.66 | 0.68 | 0.69 |
| 2 | 0.71 | 0.74 | 0.76 | | | add | 37.75 | 0.12 | — |
| --- | --- | --- | --- |
| ReLU | 36.81 | 0.12 | — |
| conv5+ReLU | 78.10 | 8.34 | 0.26 |
| conv6 | 91.72 | 9.35 | 0.51 |
| conv7 | 66.53 | 2.08 | 0.04 |
| add | 34.98 | 0.12 | — |
| ReLU | 34.01 | 0.11 | — |
| conv8+ReLU | 87.49 | 6.37 | 1.01 |
| conv9 | 89.67 | 11.91 | 2.02 |
| conv10 | 66.00 | 2.59 | 0.12 |
| add+ReLU | 34.30 | 0.11 | — |
| fully1 | 30.76 | 0.04 | 0.09 |
| fully2 | 36.74 | 0.04 | 0.09 | | 0 |
| Parameter | ValueRange(Average) |
| --- | --- |
| STENCILPATTERN<br>STENCILRADIUS | Allthree<br>0−2 | | | NUMCOMPILB<br>NUMCOMPEP | 5−44(19)<br>1−48(23) |
| --- | --- |
| NUMCOALACCESSESILB<br>NUMCOALACCESSESEP | 0−13(3)<br>0−13(5) |
| NUMUNCOALACCESSESILB<br>NUMUNCOALACCESSESEP | 0−4(0.8)<br>0−4(0.8) | | 1 |
| Parameter | ValueRange(Average) |
| --- | --- |
| STENCILPATTERN<br>STENCILRADIUS | Allthree<br>0−2 | | | σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |
| --- | --- | --- | --- | --- |
| 25 | 35.00,32.78(73.54) | 34.92,32.84(198.87) | 33.34,31.98(101.78) | 30.45,28.11(59.43) |
| 30 | 34.51,32.68(73.33) | 34.42,32.60(185.47) | 32.53,31.56(106.30) | 29.40,26.89(58.76) |
| 50 | 33.08,32.27(73.14) | 32.93,31.65(195.77) | 30.48,30.09(128.35) | 25.33,23.97(58.23) |
| 70 | 29.25,31.79(69.77) | 29.17,30.67(197.94) | 27.97,29.63(133.53) | 21.89,21.81(55.45) | | 0 |
| Parameter | ValueRange(Average) |
| --- | --- |
| STENCILPATTERN<br>STENCILRADIUS | Allthree<br>0−2 | | | NUMCOMPILB<br>NUMCOMPEP | 5−44(19)<br>1−48(23) |
| --- | --- |
| NUMCOALACCESSESILB<br>NUMCOALACCESSESEP | 0−13(3)<br>0−13(5) |
| NUMUNCOALACCESSESILB<br>NUMUNCOALACCESSESEP | 0−4(0.8)<br>0−4(0.8) | | 1 |
| Parameter | ValueRange(Average) |
| --- | --- |
| STENCILPATTERN<br>STENCILRADIUS | Allthree<br>0−2 | | | 50 | 33.08,32.27(73.14) | 32.93,31.65(195.77) | 30.48,30.09(128.35) | 25.33,23.97(58.23) |
| --- | --- | --- | --- | --- |
| 70 | 29.25,31.79(69.77) | 29.17,30.67(197.94) | 27.97,29.63(133.53) | 21.89,21.81(55.45) | | 0 |
| 97.88 |
| --- |
| 97.59 | | | 94.51<br>92.60 |
| --- |
| 0.236 |
| 84.6 | | 1 |
| 97.88 |
| --- |
| 97.59 | | | 97.88 |
| --- |
| 97.59 |
| 94.51<br>92.60 |
| 0.236 |
| 84.6 | | 0 |
| 97.88 |
| --- |
| 97.59 |
| 94.51<br>92.60 | | | 0.236 |
| --- |
| 84.6 | | 1 |
| 97.88 |
| --- |
| 97.59 |
| 94.51<br>92.60 | | | 94.51<br>92.60 |
| --- |
| 0.236 |
| 84.6 | | 0 |
| DataSet | Sentences# | Tokens# |
| --- | --- | --- |
| Training | 14,987 | 203,621 | | | Develop | 3,466 | 51,362 |
| --- | --- | --- |
| Test | 3,684 | 46,435 |
| #oftagtypes(IOBESscheme) | 17 | | | 1 |
| DataSet | Sentences# | Tokens# |
| --- | --- | --- |
| Training | 14,987 | 203,621 | | | DataSet | WSJsec.IDs | Sentences# | Tokens# |
| --- | --- | --- | --- |
| Training | 15-18 | 8,936 | 211,727 |
| Develop | N/A | N/A | N/A |
| Test | 20 | 2,012 | 47,377 |
| #oftagtypes(IOBESscheme) | 42 | | | | 0 |
| DataSet | Sentences# | Tokens# |
| --- | --- | --- |
| Training | 14,987 | 203,621 |
| Develop | 3,466 | 51,362 | | | Test | 3,684 | 46,435 |
| --- | --- | --- |
| #oftagtypes(IOBESscheme) | 17 | | | 1 |
| DataSet | Sentences# | Tokens# |
| --- | --- | --- |
| Training | 14,987 | 203,621 |
| Develop | 3,466 | 51,362 | | | Develop | N/A | N/A | N/A |
| --- | --- | --- | --- |
| Test | 20 | 2,012 | 47,377 |
| #oftagtypes(IOBESscheme) | 42 | | | | 0 |
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